Certified Data Engineer Associate

Here you have the best Databricks Certified Data Engineer Associate practice exam questions

  • You have 181 total questions to study from
  • Each page has 5 questions, making a total of 37 pages
  • You can navigate through the pages using the buttons at the bottom
  • This questions were last updated on October 6, 2025
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Question 1 of 181
A data engineer is working with two tables. Each of these tables is displayed below in its entirety.

Exam Certified Data Engineer Associate: Question 1 - Image 1

The data engineer runs the following query to join these tables together:

Exam Certified Data Engineer Associate: Question 1 - Image 2

Which of the following will be returned by the above query?
    Correct Answer: C

Question 2 of 181
Which of the following benefits is provided by the array functions from Spark SQL?
    Correct Answer: D

Question 3 of 181
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
    Correct Answer: C

    The Databricks web application is hosted completely in the control plane in the classic Databricks architecture. The control plane includes components that manage and control the Databricks environment such as the Databricks web application, the Databricks REST API, and the Databricks Workspace. The other options, like worker nodes, JDBC data sources, the Databricks Filesystem (DBFS), and driver nodes, are part of the data plane or the execution environment.

Question 4 of 181
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
    Correct Answer: D

    Delta Lake provides the ability to support both batch and streaming workloads. This functionality allows efficient and seamless processing of data in real-time as well as in batch mode, making it a versatile component of the Databricks Lakehouse Platform.

Question 5 of 181
Which of the following describes the storage organization of a Delta table?
    Correct Answer: C

    Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes. This organization allows Delta tables to maintain a structured manner of storing data using formats like Parquet files for the actual data, while also keeping track of metadata and transaction logs in separate directories. This structure supports features such as versioning, transaction management, and metadata tracking, which are essential for Delta tables to provide ACID transactions and other advanced functionalities.